Update README.md

README.md

@@ -1,13 +1,12 @@
 ---
-YAML tags:
+YAML tags: null
 annotations_creators:
 - auromatically-generated
 language_creators:
 - found
 language:
 - ca
-license:
-- cc-by-sa-3.0
+license: cc-by-sa-4.0
 multilinguality:
 - monolingual
 pretty_name: wikicat_ca
@@ -20,137 +19,130 @@ task_ids:
 - multi-class-classification
 ---
 
-# WikiCAT_ca: Catalan Text Classification dataset
-
-## Dataset Description
-- **Homepage** [Projecte AINA](https://projecteaina.cat/tech/)
-- **Repository** [HuggingFace](https://huggingface.co/projecte-aina)
-- **Point of Contact** [email protected]
 
+# WikiCAT\_ca: Catalan Text Classification Dataset
 
-**Repository**
-
-https://github.com/TeMU-BSC/WikiCAT
+## Dataset Description
 
+* **Homepage:** [Projecte AINA](https://projecteaina.cat/tech/)
+* **Repository (HF):** [huggingface.co/projecte-aina](https://huggingface.co/projecte-aina)
+* **Repository (GitHub):** [TeMU-BSC/WikiCAT](https://github.com/TeMU-BSC/WikiCAT)
+* **Point of Contact:** [[email protected]](mailto:[email protected])
 
 ### Dataset Summary
 
-WikiCAT_ca is a Catalan corpus for thematic Text Classification tasks. It is created automagically from Wikipedia and Wikidata sources, and contains 13201 articles from the Viquipedia classified under 13 different categories.
+WikiCAT\_ca is a Catalan corpus for thematic text classification tasks. It is automatically generated from Wikipedia and Wikidata sources, and contains **13,201 articles** from the Viquipèdia classified under **13 different categories**.
 
-This dataset was developed by BSC TeMU as part of the AINA project, and intended as an evaluation of LT capabilities to generate useful synthetic corpus.
-
-This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International</a>.
+The dataset was developed by the **Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (BSC)** within the framework of **Projecte AINA**. It is intended as an evaluation resource for language technologies applied to Catalan.
 
+This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).
 
 ### Supported Tasks and Leaderboards
 
-Text classification, Language Model
+* Text classification (multi-class)
+* Evaluation for Catalan language models
 
 ### Languages
 
-The dataset is in Catalan (ca-ES).
+* **Catalan (ca-ES)**
+
+---
 
 ## Dataset Structure
 
 ### Data Instances
 
-Two json files, one for each split.
+Each instance consists of an article text and its associated thematic label.
 
-### Data Fields
+Example:
 
-We used a simple model with the article text and associated labels, without further metadata.
-
-#### Example:
-
-<pre>
-{"version": "1.1.0",
- "data":
-   [
-    {
-     'sentence': ' Celsius és conegut com l\'inventor de l\'escala centesimal del termòmetre. Encara que aquest instrument és un invent molt antic, la història de la seva gradació és molt més capritxosa. Durant el segle xvi era graduat com "fred" col·locant-lo (...)', 
-    'label': 'Ciència'
-    },
-    .
-    .
-    .
-  ]
+```json
+{
+  "sentence": "Celsius és conegut com l'inventor de l'escala centesimal del termòmetre...",
+  "label": "Ciència"
 }
+```
 
+### Data Fields
 
-</pre>
-
-#### Labels
-
-'Ciència_i_Tecnologia', 'Dret', 'Economia', 'Enginyeria', 'Entreteniment', 'Esport', 'Filosofia', 'Història', 'Humanitats', 'Matemàtiques', 'Música', 'Política', 'Religió'
+* **sentence**: `string` — text extracted from a Wikipedia article.
+* **label**: `string` — one of 13 thematic categories.
+
+### Labels
+
+* Ciència\_i\_Tecnologia
+* Dret
+* Economia
+* Enginyeria
+* Entreteniment
+* Esport
+* Filosofia
+* Història
+* Humanitats
+* Matemàtiques
+* Música
+* Política
+* Religió
 
 ### Data Splits
 
-* dev_ca.json: 2484 label-document pairs
-* train_ca.json:  9907 label-document pairs
+* **train\_ca.json**: 9,907 label-document pairs
+* **dev\_ca.json**: 2,484 label-document pairs
 
+---
 
 ## Dataset Creation
 
-### Methodology
-
-
-“Category” starting pages are chosen to represent the topics in each language.
-
-We extract, for each category, the main pages, as well as the subcategories ones, and the individual pages under this first level.
-For each page, the "summary" provided by Wikipedia is also extracted as the representative text.
-
 ### Curation Rationale
 
-
+The dataset was created to provide a freely available resource for Catalan, a low-resource language, supporting the development of classification models.
 
 ### Source Data
 
-#### Initial Data Collection and Normalization
-
-The source data are thematic categories in the different Wikipedias
-
-#### Who are the source language producers?
-
+* **Collection:** Pages were selected from thematic categories in Wikipedia (Catalan edition), including main pages, subcategories, and individual articles.
+* **Text extraction:** The article summaries were used as representative text.
 
 ### Annotations
 
-#### Annotation process
-Automatic annotation
-
-#### Who are the annotators?
-
-[N/A]
+* **Process:** Automatic annotation based on Wikipedia categories.
+* **Annotators:** N/A (fully automated).
 
 ### Personal and Sensitive Information
 
-No personal or sensitive information included.
+The dataset does not contain personal or sensitive information.
 
-## Considerations for Using the Data
+---
 
-### Social Impact of Dataset
+## Considerations for Using the Data
 
-We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
+### Social Impact
 
-### Discussion of Biases
+This corpus supports the development of NLP resources for Catalan, helping reduce the resource gap for minority languages.
 
-We are aware that this data might contain biases. We have not applied any steps to reduce their impact.
+### Bias and Limitations
 
-### Other Known Limitations
+* Thematic coverage is dependent on Wikipedia categories, which may introduce systemic biases.
+* No steps were applied to mitigate potential biases.
+* Some categories may be underrepresented compared to others.
 
-[N/A]
+---
 
 ## Additional Information
 
 ### Dataset Curators
 
-Text Mining Unit (TeMU) at the Barcelona Supercomputing Center ([email protected])
+* **Text Mining Unit (TeMU)**, Barcelona Supercomputing Center (BSC)
+
+  * Contact: [[email protected]](mailto:[email protected])
+
+### Funding
 
-This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
+This work was funded by the **Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya**, within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
 
 ### Licensing Information
 
-This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International</a>.
+* License: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
 
 ### Contributions
 
-[N/A]
+N/A